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Evaluation of the AnnAGNPS Model for Atrazine Prediction in Northeast Indiana

机译:AnnAGNPS模型在印第安纳州东北部阿特拉津预测中的应用

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The Annualized Agricultural Nonpoint Source (AnnAGNPS) pollution model was developed for simulation of runoff, sediment, nutrient, and pesticide losses from ungauged agricultural watersheds. This article describes the first documented calibration andvalidation of AnnAGNPS for prediction of atrazine loading. Here, the model was applied to the 707 km~2 Cedar Creek watershed (CCW) and the 45 km2 Matson Ditch sub-catchment (MDS), which are predominantly (>85%) agricultural, with major crops of corn andsoybeans. Atrazine herbicide is of significant concern, as the St. Joseph River is the source of drinking water for the city of Fort Wayne, Indiana, with Cedar Creek being the main tributary. Major objectives were to evaluate the ability of AnnAGNPS to simulate runoff and atrazine concentrations in uncalibrated, calibrated, and validation modes. In an uncalibrated mode, flow discharge predictions by AnnAGNPS were satisfactory at the CCW scale but could be improved through calibration. Flow discharge forboth CCW and MDS could be well matched with observed values during model calibration and validation. AnnAGNPS predictions of atrazine concentrations in runoff water were very poor, and it was impossible to improve the results through any type of calibration. Inspection of the model source code revealed a unit conversion error in the runoff value being input to the pesticide routine, which when corrected greatly improved the results. The corrected AnnAGNPS model code could be satisfactorily calibrated and validated for predictions of atrazine concentrations in the MDS, but not in the CCW where only coarse measured data were available.
机译:开发了年度农业面源污染(AnnAGNPS)污染模型,用于模拟未开垦的农业流域的径流,沉积物,养分和农药损失。本文介绍了第一个记录的AnnAGNPS的校准和验证,用于预测阿特拉津的负载量。在这里,该模型应用于707 km〜2雪松溪流域(CCW)和45 km2 Matson沟沟小流域(MDS),这些流域主要是农业(> 85%),主要农作物为玉米和大豆。阿特拉津除草剂引起了极大关注,因为圣约瑟夫河是印第安纳州韦恩堡市的饮用水源,雪松溪是主要支流。主要目标是评估AnnAGNPS在未校准,校准和验证模式下模拟径流和at去津浓度的能力。在非校准模式下,AnnAGNPS的流量排放预测在CCW规模上令人满意,但可以通过校准进行改进。在模型校准和验证过程中,CCW和MDS的流量均可与观测值很好地匹配。 AnnAGNPS对径流水中阿特拉津浓度的预测非常差,因此无法通过任何类型的校准来改善结果。对模型源代码的检查发现,输入农药程序的径流值存在单位转换错误,而在更正后,结果大大改善了。可以对经过校正的AnnAGNPS模型代码进行满意的校准和验证,以预测MDS中阿特拉津浓度的预测,而CCW中只有粗略的测量数据可用,而不能进行预测。

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